Live object detection and recognition for blind people using Machine learning

This project introduces a live object recognition system that serves as a blind aid. Visually impaired people heavily rely on their other senses such as touch and auditory signals for understanding the environment around them. The act of knowing what object is in front of the blind person without to

Project Title

Live object detection and recognition for blind people using Machine learning

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

This project introduces a live object recognition system that serves as a blind aid. Visually impaired people heavily rely on their other senses such as touch and auditory signals for understanding the environment around them. The act of knowing what object is in front of the blind person without touching it (by hands or using some other tool) is very difficult.

Further more Reliable and robust vision systems for the blind and visually impaired involving cutting-edge technology, provided at an affordable cost can have a very relevant social impact

Project Objectives

Herein lies the motivation for innovation of affordable tools to aid the affected community. Research in the area indicates that Computer Vision embodies a powerful tool for the development of assistive technologies for the blind.

? Project Milestones
Our milestone is to produce a product that can
o Help the disable person
o An affordable product for the middle and lower middle class peoples o This should have low maintenance rate

Project Implementation Method

In some cases, the physical contact between the person and object can be dangerous, and even lethal. This project tries to transform the visual world into the audio world with the potential to inform blind people objects as well as their spatial locations. Objects detected from the scene are represented by their names and converted to speech. Video is captured with a camera device on the client-side and is streamed to the server for real-time image recognition with the YOLO object detection model which uses the COCO data set to find the pre-trained objects.

Benefits of the Project

? Project Scope
o Medical field
o Digital communication field o Fast data entry field
o Automobile
o Security systems

? Project Applications
o Aid for blind peoples
o Speed detectors for traffic police o Security system
o Conversion of data
o Distance detector for cars

Technical Details of Final Deliverable

This device includes a pair of glasses and an obstacle detection module fitted in it in the center, a processing unit, an output device i.e. a beeping component, and a power supply. The Obstacle detection module and the output device is connected to the processing unit. The power supply is used to supply power to the central processing unit. The obstacle detection module basically consists of a ultrasonic sensor, processing unit consist of a control module and the output unit consists of a buzzer. The control unit controls the ultrasonic sensors and get the information of the obstacle present in front of the man and processes the information andsends the output through the buzzer accordingly. These Ultrasonic Smart Glasses for Blind people is a portable device, easy to use, light weight, user friendly and cheap in price. These glasses could easily guide the blind people and help them avoid obstacles

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Medical

Other Industries

Security

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People, Partnerships to achieve the Goal

Required Resources

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